Iβm a Computer Scientist and Software Engineer passionate about building intelligent, high-performance systems that unite advanced AI with solid engineering principles. My work spans machine learning, deep learning, reinforcement learning, computer vision, NLP, generative AI, backend engineering, and full-stack development, with a focus on creating scalable, adaptive, and production-ready solutions.
Iβve developed AI-driven applications using frameworks like PyTorch, TensorFlow, Hugging Face, and LangChain, and engineered cloud-native backends with FastAPI, Fastify, React/Next.js, PostgreSQL, and OpenSearch to deliver reliable, efficient, and intelligent software systems.
As a polymath, Iβm deeply curious about a wide spectrum of disciplines, from computer science and AI to robotics, hardware engineering, mechanical engineering, biology, philosophy, and emerging sciences. I thrive on learning, exploring new paradigms, and crafting innovative solutions that merge creativity with technical precision.
Whether Iβm building high-performance low-latency software, agentic AI systems, recommender systems, reasoning engines, or simply tinkering with novel ideas, my goal is always the same: to enhance how we live, think, and connect through intelligent technology.
- Core Areas/Strengths: Deep Learning, Machine Learning, Generative AI, Causal Inference, Reinforcement Learning & Deep Reinforcement Learning (MDP, PPO, RLHF, etc.), Natural Language Processing, Computer Vision, Retrieval Augmented Generation (RAG), Recommender Systems, Agentic AI, Model-Context Protocols (MCP), Prompt Engineering, Transfer Learning, Model Design, Development, Evaluation & Intepretability
- Retrieval & RAG Systems: Vector Databases (OpenSearch/ElasticSearch, FAISS, Pinecone), Semantic Search, Temporal/Context-Aware Retrieval, LangChain-based pipelines
- Computer Vision: CNNs (AlexNet, VGG, Inception, ResNet, DenseNet), Vision & Vision Language Models (like ViT, CLIP), Image Captioning, Visual Question Answering (VQA), GANs, VAEs, Stable Diffusion
- NLP: Named Entity Recognition, Text Classification, Question Answering, Semantic Parsing, Machine Translation, Text Summarization, Document Understanding, Intent Classification
- Frameworks/Tools: PyTorch, TensorFlow, Hugging Face Transformers, Ray, LangChain, OpenAI APIs, Ollama, Weights & Biases, scikit-learn, NumPy, pandas, Matplotlib, ONNX
- Languages: Python, Java, C, C++, C#, JavaScript/TypeScript, SQL
- Frameworks & Tools: FastAPI, Flask, Django, Spring Boot, Node.js, Fastify, Express.js, Next.js, React.js, Angular, TailwindCSS, Chart.js
- Testing: Cypress, PyTest, JUnit, Postman, Selenium, Mocha
- Architectures: Scalable Microservices, Modular Monoliths, RESTful APIs, Serverless Functions, Event-Driven Systems
- Concurrency & Performance: Multithreading, Parallel Processing, Async/Await, Coroutines, Virtual Threads, io_uring, kqueue, High-Throughput Networking (SwiftNet)
- Protocols & Networking: TCP/IP, WebSockets, HTTP/2, gRPC, Socket Programming
- Backend Efficiency: Caching (Redis, CDN), Load Balancing, Rate Limiting, Lazy Evaluation, Profiling & Debugging (perf, valgrind, cProfile)
- Cloud Platforms: AWS (EC2, S3, Lambda, SageMaker), Azure (OpenAI, Functions), GCP (Vertex AI, BigQuery)
- CI/CD & Containers: Docker, GitHub Actions, GitLab CI, Jenkins
- Orchestration & Monitoring: Kubernetes, Prometheus, Grafana, ELK Stack
- Messaging & Queues: Apache Kafka, RabbitMQ, Celery
- Versioning & Project Tools: Git, GitHub, JIRA, Trello
- Relational: PostgreSQL, MySQL, MariaDB
- NoSQL & Document Stores: MongoDB, Couchbase (also key-val), Redis
- Vector Stores: FAISS, OpenSearch, Pinecone
- File Systems & Indexing: Lucene, ElasticSearch Core, S3-compatible object stores
Purdue University
π
January 2024 β May 2025 (π Completed M.S. in just 3 semesters with a perfect 4.0 GPA topping several of the courses)
π GPA: 4.0/4.0
π§ Coursework (all A-grade):
- Natural Language Processing
- Operating Systems
- High-Performance Computing
- Computer Vision
- Machine Learning
- Full-Stack Development
- Algorithm Design & Development
- Human-Computer Interaction (HCI)
- Software Engineering
- Game Design & Simulation
National Institute of Technology Warangal, India
π
August 2018 β May 2022
π Achievement:
Ranked #9227 out of 1.2 million in JEE Mains (2018)
Always eager to team up on projects that explore new horizons and drive innovation. Letβs connect and create something extraordinary together. Reach out anytime!
"Stay curious and keep exploring β every challenge is an opportunity to grow."